Computational field-resolved coherent chemical imaging
Abstract Coherent Anti-Stokes Raman Scattering (CARS) has found critical applications across various fields, including high-speed chemical imaging, material science, and biomedical diagnostics. However, the inherent coherent nature of CARS poses challenges for quantitative chemical imaging due to th...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-08-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-62716-8 |
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| author | Shupeng Zhao Lea Chibani Edward Chandler Fangyu Liu Jianqi Hu Lorenzo Valzania Ulugbek S. Kamilov Hilton B. de Aguiar |
| author_facet | Shupeng Zhao Lea Chibani Edward Chandler Fangyu Liu Jianqi Hu Lorenzo Valzania Ulugbek S. Kamilov Hilton B. de Aguiar |
| author_sort | Shupeng Zhao |
| collection | DOAJ |
| description | Abstract Coherent Anti-Stokes Raman Scattering (CARS) has found critical applications across various fields, including high-speed chemical imaging, material science, and biomedical diagnostics. However, the inherent coherent nature of CARS poses challenges for quantitative chemical imaging due to the loss of spectral phase information. Accessing such information would enable faster chemical imaging speed through computational methods. Here, we develop a robust reference-less interferometric broadband pump/probe CARS to retrieve the vibrational spectral phase. We transfer the computational phase retrieval concept from quantitative spatial phase imaging to frequency-domain spectroscopy. We then unlock and demonstrate the concept of supervised compressive CARS microspectroscopy, enabling artifact-less high-speed quantitative chemical imaging. |
| format | Article |
| id | doaj-art-6c535004caf84f75a0da5adb661f3fcc |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-6c535004caf84f75a0da5adb661f3fcc2025-08-20T04:03:07ZengNature PortfolioNature Communications2041-17232025-08-0116111010.1038/s41467-025-62716-8Computational field-resolved coherent chemical imagingShupeng Zhao0Lea Chibani1Edward Chandler2Fangyu Liu3Jianqi Hu4Lorenzo Valzania5Ulugbek S. Kamilov6Hilton B. de Aguiar7Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, 24 rue LhomondLaboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, 24 rue LhomondWashington University in St. LouisDepartment of Precision Instruments, Tsinghua UniversityLaboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, 24 rue LhomondLaboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, 24 rue LhomondWashington University in St. LouisLaboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, 24 rue LhomondAbstract Coherent Anti-Stokes Raman Scattering (CARS) has found critical applications across various fields, including high-speed chemical imaging, material science, and biomedical diagnostics. However, the inherent coherent nature of CARS poses challenges for quantitative chemical imaging due to the loss of spectral phase information. Accessing such information would enable faster chemical imaging speed through computational methods. Here, we develop a robust reference-less interferometric broadband pump/probe CARS to retrieve the vibrational spectral phase. We transfer the computational phase retrieval concept from quantitative spatial phase imaging to frequency-domain spectroscopy. We then unlock and demonstrate the concept of supervised compressive CARS microspectroscopy, enabling artifact-less high-speed quantitative chemical imaging.https://doi.org/10.1038/s41467-025-62716-8 |
| spellingShingle | Shupeng Zhao Lea Chibani Edward Chandler Fangyu Liu Jianqi Hu Lorenzo Valzania Ulugbek S. Kamilov Hilton B. de Aguiar Computational field-resolved coherent chemical imaging Nature Communications |
| title | Computational field-resolved coherent chemical imaging |
| title_full | Computational field-resolved coherent chemical imaging |
| title_fullStr | Computational field-resolved coherent chemical imaging |
| title_full_unstemmed | Computational field-resolved coherent chemical imaging |
| title_short | Computational field-resolved coherent chemical imaging |
| title_sort | computational field resolved coherent chemical imaging |
| url | https://doi.org/10.1038/s41467-025-62716-8 |
| work_keys_str_mv | AT shupengzhao computationalfieldresolvedcoherentchemicalimaging AT leachibani computationalfieldresolvedcoherentchemicalimaging AT edwardchandler computationalfieldresolvedcoherentchemicalimaging AT fangyuliu computationalfieldresolvedcoherentchemicalimaging AT jianqihu computationalfieldresolvedcoherentchemicalimaging AT lorenzovalzania computationalfieldresolvedcoherentchemicalimaging AT ulugbekskamilov computationalfieldresolvedcoherentchemicalimaging AT hiltonbdeaguiar computationalfieldresolvedcoherentchemicalimaging |